Author

Insu Lee

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Preprint Aug 2026

Visual Information-Guided Parallel Decoding for Diffusion Multimodal Large Language Models

The Visual Information-Guided Sampler (VIG-Sampler), which prioritizes tokens based on their attention to image tokens, and imposes a constraint that penalizes candidate tokens whose image-attention distributions are similar to those of previously selected tokens, thereby increasing the information gain of the decoded...

Insu Lee, Woo-Soon Park, Wonseok Shin et al. · 1 citation

#artificial intelligence Mar 2026

Revealing Multi-View Hallucination in Large Vision-Language Models

Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. Despite this growing use, current LVLMs often generate incorrect responses due to visual interference from non-target instances or viewpoints, a phenomenon we term multi-view hallucination (M...

Woo-Soon Park, Insu Lee, Soohyun Kim et al. · arXiv.org · 1 citation

Preprint Aug 2026

Dependency-Aware Revocable Decoding for Efficient Diffusion Large Language Model Inference

DARD is proposed, a training-free framework that separates tokens into masked, candidate, and unmasked states and adaptively regulates their influence on subsequent decoding, and consistently improves the speed-quality Pareto frontier over recent revocable decoding methods.

Woo-Soon Park, Insu Lee, Minyoung Noh et al. · 1 citation